Item Coding - Handling Item Labels and Column IDs
itemFrequency: Getting Frequency/Support for Single Items
In arules: Mining Association Rules and Frequent Itemsets
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Provides the generic function itemFrequency and S4 methods to get the
frequency/support for all single items in an objects based on
itemMatrix. For example, it is used to get the single
item support from an object of class transactions
without mining.
Usage
1
2
3
4
itemFrequency(x, ...)
## S4 method for signature 'itemMatrix'
itemFrequency(x, type, weighted = FALSE)
Arguments
x
an object.
...
further arguments are passed on.
type
a character string specifying
if "relative" frequency/support or "absolute"
frequency/support (item counts) is returned. (default: "relative").
weighted
should support be weighted by transactions weights stored
as column "weight" in transactionInfo?
Value
itemFrequency returns a named numeric vector. Each element is the
frequency/support of the corresponding item in object x. The items
appear in the vector in the same order as in the binary matrix in x.
Author(s)
Michael Hahsler
See Also
itemFrequencyPlot,
itemMatrix-class,
transactions-class
Examples
1
2
data("Adult")
itemFrequency(Adult, type = "relative")
Example output
Loading required package: Matrix
Attaching package: 'arules'
The following objects are masked from 'package:base':
abbreviate, write
age=Young
1.971050e-01
age=Middle-aged
5.051185e-01
age=Senior
2.608616e-01
age=Old
3.691495e-02
workclass=Federal-gov
2.931903e-02
workclass=Local-gov
6.420703e-02
workclass=Never-worked
2.047418e-04
workclass=Private
6.941976e-01
workclass=Self-emp-inc
3.470374e-02
workclass=Self-emp-not-inc
7.907129e-02
workclass=State-gov
4.055935e-02
workclass=Without-pay
4.299578e-04
education=Preschool
1.699357e-03
education=1st-4th
5.057123e-03
education=5th-6th
1.042136e-02
education=7th-8th
1.955284e-02
education=9th
1.547848e-02
education=10th
2.843864e-02
education=11th
3.709922e-02
education=12th
1.345154e-02
education=HS-grad
3.231645e-01
education=Prof-school
1.707547e-02
education=Assoc-acdm
3.277917e-02
education=Assoc-voc
4.219729e-02
education=Some-college
2.227182e-01
education=Bachelors
1.643053e-01
education=Masters
5.439990e-02
education=Doctorate
1.216166e-02
marital-status=Divorced
1.358052e-01
marital-status=Married-AF-spouse
7.575447e-04
marital-status=Married-civ-spouse
4.581917e-01
marital-status=Married-spouse-absent
1.285779e-02
marital-status=Never-married
3.299824e-01
marital-status=Separated
3.132550e-02
marital-status=Widowed
3.107981e-02
occupation=Adm-clerical
1.148806e-01
occupation=Armed-Forces
3.071127e-04
occupation=Craft-repair
1.251382e-01
occupation=Exec-managerial
1.246059e-01
occupation=Farming-fishing
3.050653e-02
occupation=Handlers-cleaners
4.242251e-02
occupation=Machine-op-inspct
6.187298e-02
occupation=Other-service
1.007944e-01
occupation=Priv-house-serv
4.954752e-03
occupation=Prof-specialty
1.263667e-01
occupation=Protective-serv
2.012612e-02
occupation=Sales
1.126899e-01
occupation=Tech-support
2.960567e-02
occupation=Transport-moving
4.821670e-02
relationship=Husband
4.036690e-01
relationship=Not-in-family
2.576266e-01
relationship=Other-relative
3.083412e-02
relationship=Own-child
1.552148e-01
relationship=Unmarried
1.049302e-01
relationship=Wife
4.772532e-02
race=Amer-Indian-Eskimo
9.622866e-03
race=Asian-Pac-Islander
3.110028e-02
race=Black
9.592154e-02
race=Other
8.312518e-03
race=White
8.550428e-01
sex=Female
3.315180e-01
sex=Male
6.684820e-01
capital-gain=None
9.173867e-01
capital-gain=Low
4.801196e-02
capital-gain=High
3.460137e-02
capital-loss=None
9.532779e-01
capital-loss=Low
2.387290e-02
capital-loss=High
2.284919e-02
hours-per-week=Part-time
1.210638e-01
hours-per-week=Full-time
5.850907e-01
hours-per-week=Over-time
2.595307e-01
hours-per-week=Workaholic
3.431473e-02
native-country=Cambodia
5.732771e-04
native-country=Canada
3.726301e-03
native-country=China
2.497850e-03
native-country=Columbia
1.740305e-03
native-country=Cuba
2.825437e-03
native-country=Dominican-Republic
2.108841e-03
native-country=Ecuador
9.213382e-04
native-country=El-Salvador
3.173498e-03
native-country=England
2.600221e-03
native-country=France
7.780189e-04
native-country=Germany
4.217682e-03
native-country=Greece
1.003235e-03
native-country=Guatemala
1.801728e-03
native-country=Haiti
1.535564e-03
native-country=Holand-Netherlands
2.047418e-05
native-country=Honduras
4.094836e-04
native-country=Hong
6.142255e-04
native-country=Hungary
3.890095e-04
native-country=India
3.091601e-03
native-country=Iran
1.207977e-03
native-country=Ireland
7.575447e-04
native-country=Italy
2.149789e-03
native-country=Jamaica
2.170263e-03
native-country=Japan
1.883625e-03
native-country=Laos
4.709062e-04
native-country=Mexico
1.947095e-02
native-country=Nicaragua
1.003235e-03
native-country=Outlying-US(Guam-USVI-etc)
4.709062e-04
native-country=Peru
9.418124e-04
native-country=Philippines
6.039884e-03
native-country=Poland
1.781254e-03
native-country=Portugal
1.371770e-03
native-country=Puerto-Rico
3.767249e-03
native-country=Scotland
4.299578e-04
native-country=South
2.354531e-03
native-country=Taiwan
1.330822e-03
native-country=Thailand
6.142255e-04
native-country=Trinadad&Tobago
5.528029e-04
native-country=United-States
8.974243e-01
native-country=Vietnam
1.760780e-03
native-country=Yugoslavia
4.709062e-04
income=small
5.061218e-01
income=large
1.605381e-01
arules documentation built on May 29, 2017, 3:27 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Provides the generic function itemFrequency and S4 methods to get the
frequency/support for all single items in an objects based on
itemMatrix. For example, it is used to get the single
item support from an object of class transactions
without mining.
Usage
1 2 3 4 | itemFrequency(x, ...)
## S4 method for signature 'itemMatrix'
itemFrequency(x, type, weighted = FALSE)
|
Arguments
x |
an object. |
... |
further arguments are passed on. |
type |
a character string specifying
if |
weighted |
should support be weighted by transactions weights stored
as column |
Value
itemFrequency returns a named numeric vector. Each element is the
frequency/support of the corresponding item in object x. The items
appear in the vector in the same order as in the binary matrix in x.
Author(s)
Michael Hahsler
See Also
itemFrequencyPlot,
itemMatrix-class,
transactions-class
Examples
1 2 | data("Adult")
itemFrequency(Adult, type = "relative")
|
Example output
Loading required package: Matrix
Attaching package: 'arules'
The following objects are masked from 'package:base':
abbreviate, write
age=Young
1.971050e-01
age=Middle-aged
5.051185e-01
age=Senior
2.608616e-01
age=Old
3.691495e-02
workclass=Federal-gov
2.931903e-02
workclass=Local-gov
6.420703e-02
workclass=Never-worked
2.047418e-04
workclass=Private
6.941976e-01
workclass=Self-emp-inc
3.470374e-02
workclass=Self-emp-not-inc
7.907129e-02
workclass=State-gov
4.055935e-02
workclass=Without-pay
4.299578e-04
education=Preschool
1.699357e-03
education=1st-4th
5.057123e-03
education=5th-6th
1.042136e-02
education=7th-8th
1.955284e-02
education=9th
1.547848e-02
education=10th
2.843864e-02
education=11th
3.709922e-02
education=12th
1.345154e-02
education=HS-grad
3.231645e-01
education=Prof-school
1.707547e-02
education=Assoc-acdm
3.277917e-02
education=Assoc-voc
4.219729e-02
education=Some-college
2.227182e-01
education=Bachelors
1.643053e-01
education=Masters
5.439990e-02
education=Doctorate
1.216166e-02
marital-status=Divorced
1.358052e-01
marital-status=Married-AF-spouse
7.575447e-04
marital-status=Married-civ-spouse
4.581917e-01
marital-status=Married-spouse-absent
1.285779e-02
marital-status=Never-married
3.299824e-01
marital-status=Separated
3.132550e-02
marital-status=Widowed
3.107981e-02
occupation=Adm-clerical
1.148806e-01
occupation=Armed-Forces
3.071127e-04
occupation=Craft-repair
1.251382e-01
occupation=Exec-managerial
1.246059e-01
occupation=Farming-fishing
3.050653e-02
occupation=Handlers-cleaners
4.242251e-02
occupation=Machine-op-inspct
6.187298e-02
occupation=Other-service
1.007944e-01
occupation=Priv-house-serv
4.954752e-03
occupation=Prof-specialty
1.263667e-01
occupation=Protective-serv
2.012612e-02
occupation=Sales
1.126899e-01
occupation=Tech-support
2.960567e-02
occupation=Transport-moving
4.821670e-02
relationship=Husband
4.036690e-01
relationship=Not-in-family
2.576266e-01
relationship=Other-relative
3.083412e-02
relationship=Own-child
1.552148e-01
relationship=Unmarried
1.049302e-01
relationship=Wife
4.772532e-02
race=Amer-Indian-Eskimo
9.622866e-03
race=Asian-Pac-Islander
3.110028e-02
race=Black
9.592154e-02
race=Other
8.312518e-03
race=White
8.550428e-01
sex=Female
3.315180e-01
sex=Male
6.684820e-01
capital-gain=None
9.173867e-01
capital-gain=Low
4.801196e-02
capital-gain=High
3.460137e-02
capital-loss=None
9.532779e-01
capital-loss=Low
2.387290e-02
capital-loss=High
2.284919e-02
hours-per-week=Part-time
1.210638e-01
hours-per-week=Full-time
5.850907e-01
hours-per-week=Over-time
2.595307e-01
hours-per-week=Workaholic
3.431473e-02
native-country=Cambodia
5.732771e-04
native-country=Canada
3.726301e-03
native-country=China
2.497850e-03
native-country=Columbia
1.740305e-03
native-country=Cuba
2.825437e-03
native-country=Dominican-Republic
2.108841e-03
native-country=Ecuador
9.213382e-04
native-country=El-Salvador
3.173498e-03
native-country=England
2.600221e-03
native-country=France
7.780189e-04
native-country=Germany
4.217682e-03
native-country=Greece
1.003235e-03
native-country=Guatemala
1.801728e-03
native-country=Haiti
1.535564e-03
native-country=Holand-Netherlands
2.047418e-05
native-country=Honduras
4.094836e-04
native-country=Hong
6.142255e-04
native-country=Hungary
3.890095e-04
native-country=India
3.091601e-03
native-country=Iran
1.207977e-03
native-country=Ireland
7.575447e-04
native-country=Italy
2.149789e-03
native-country=Jamaica
2.170263e-03
native-country=Japan
1.883625e-03
native-country=Laos
4.709062e-04
native-country=Mexico
1.947095e-02
native-country=Nicaragua
1.003235e-03
native-country=Outlying-US(Guam-USVI-etc)
4.709062e-04
native-country=Peru
9.418124e-04
native-country=Philippines
6.039884e-03
native-country=Poland
1.781254e-03
native-country=Portugal
1.371770e-03
native-country=Puerto-Rico
3.767249e-03
native-country=Scotland
4.299578e-04
native-country=South
2.354531e-03
native-country=Taiwan
1.330822e-03
native-country=Thailand
6.142255e-04
native-country=Trinadad&Tobago
5.528029e-04
native-country=United-States
8.974243e-01
native-country=Vietnam
1.760780e-03
native-country=Yugoslavia
4.709062e-04
income=small
5.061218e-01
income=large
1.605381e-01
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